Instructions to use jcramirezpr/sd-class-butterflies-32-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jcramirezpr/sd-class-butterflies-32-small with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jcramirezpr/sd-class-butterflies-32-small", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fc93b9d718d88a48ad1cefc37692a152a2a2fcb12728e7d41b08fb73f4644ca
- Size of remote file:
- 74.3 MB
- SHA256:
- b56b7a01cb139e0dbdbb2c6ce76c56d4eb48c91a492a3fff7d1b7f6783aab319
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